Predicted Preferences for Tuberculosis Point-of-Care Tests Among Tuberculosis-Affected Individuals in 5 High Burden Countries

Point-of-care (POC) tests are needed to improve tuberculosis (TB) detection, but how TB-affected persons value POC tests is unknown. Simulations using discrete choice experiment-based data from 1,149 TB-affected participants across five countries demonstrated that POC TB tests were highly preferred, even with modestly lower accuracy compared to standard facility-based testing.

Authors

Institutions

Publication Details

Journal
Clinical Infectious Diseases
Published
2026-01-12
DOI
https://doi.org/10.1093/cid/ciag022
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predicted Preferences for Tuberculosis Point-of-Care Tests Among Tuberculosis-Affected Individuals in 5 High Burden Countries

Jerusha Emmanuel, Payam Nahid, Alfred Andama, Claudia Maria Denkinger et al.
Clinical Infectious Diseases
Tuberculosis Research and Epidemiology
article

Predicted Preferences for Tuberculosis Point-of-Care Tests Among Tuberculosis-Affected Individuals in 5 High Burden Countries

Jerusha Emmanuel, Payam Nahid, Alfred Andama, Claudia Maria Denkinger, William O. Worodria, Ann Schraufnagel, Dinh Van Luong, Katamba Achilles, Annet Nakaweesa, Andrew D. Kerkhoff, Talemwa Nalugwa, Danaida Marcelo, Emily A. Kendall, Robinah Nakawunde, Kinari Shah, Trang Trinh, María del Mar Castro, Devasahayam J Christopher, Adithya Cattamanchi, Charles Yu
article en

Abstract

Point-of-care (POC) tests are needed to improve tuberculosis (TB) detection, but how TB-affected persons value POC tests is unknown. Simulations using discrete choice experiment-based data from 1,149 TB-affected participants across five countries demonstrated that POC TB tests were highly preferred, even with modestly lower accuracy compared to standard facility-based testing.

Clinical Infectious Diseases
South African Medical Research Council (ZA), San Francisco General Hospital (US), Johns Hopkins University (US), Christian Medical College, Vellore (IN), University of California, Irvine (US), Heidelberg University (DE), Johns Hopkins Medicine (US), University Hospital Heidelberg (DE), Center for Promotion of Advancement of Society (VN), Novosibirsk Tuberculosis Research Institute (RU), German Center for Infection Research (DE), Global Brain Health Institute (US), Hanoi Lung Hospital (VN), La Salle University (US), Makerere University (UG), Heidelberg University (US)
Partnerships for the goals
Openalex Percentile: Top 83%
Tuberculosis Research and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.